Mahsa Modiri Gharehveran
Environmental Science · Purdue University West Lafayette
Publications
26
Citations
1,612
Est. group size
~2
Recurring co-author estimate
Active years
12
Publishing since 2014
Mahsa Modiri Gharehveran's research centers on per- and polyfluoroalkyl substances (PFAS), a group of persistent man-made chemicals sometimes called 'forever chemicals,' focusing on how they move through the environment, how to detect and treat them, and how to develop PFAS-free alternatives such as firefighting foams. Related work touches on other environmental chemistry topics, including sulfur compound formation in water from sunlight-driven reactions, and some earlier engineering-materials work on concrete, asphalt, and waste properties using machine learning prediction methods.
Publication output has grown from about 1 paper per year in 2017-2019 to a steadier pace of 2-4 papers per year from 2021 onward, suggesting a modestly increasing and consistent output over the past decade.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Bridging Science and Practice: Literature Review and Expert Insights on Per‐ and Polyfluoroalkyl Substances Transport Modeling
Remediation Journal · 2025
- Strategic Delineation at Per‐ and Polyfluoroalkyl Substance (PFAS)–Contaminated Sites: A Framework Combining Source Identification, Background Assessment, and Plume Migration Insights for Remedial Investigations
Remediation Journal · 2025
- Release of poly- and perfluoroalkyl substances from finished biosolids in soil mesocosms
Water Research · 2022
- Per- and polyfluoroalkyl substances (PFAS)-free aqueous film forming foam formulations: Chemical composition and biodegradation in an aerobic environment
Journal of environmental chemical engineering · 2022
- Perfluoroalkyl acid transformation and mitigation by nNiFe-activated carbon nanocomposites in steady-state flow column studies
Journal of Environmental Sciences · 2022
- Per- and Polyfluoroalkyl Substances (Pfas)-Free Aqueous Film Forming Foam Formulations: Chemical Composition and Biodegradation in an Aerobic Environment
SSRN Electronic Journal · 2022
- Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques
Journal of Cleaner Production · 2021
- Transformation and defluorination by nNiFe-activated carbon nanocomposites: PFAS structure and matrix effects
Journal of environmental chemical engineering · 2021
- Influence of dissolved organic matter on carbonyl sulfide and carbon disulfide formation from dimethyl sulfide during sunlight photolysis
Water Environment Research · 2021
- Transformation and mitigation of PFAS with nNi0Fe0-activated carbon nanocomposites
2021
- Influence of dissolved organic matter on carbonyl sulfide and carbon disulfide formation from cysteine during sunlight photolysis
Environmental Science Processes & Impacts · 2020
- INDIRECT PHOTOCHEMICAL FORMATION OF COS AND CS2 IN NATURAL WATERS: KINETICS AND REACTION MECHANISMS
INDIGO (University of Illinois at Chicago) · 2019
- Morphology, rheology, and physical properties of polymer-modified asphalt binders
European Polymer Journal · 2018
- Indirect Photochemical Formation of Carbonyl Sulfide and Carbon Disulfide in Natural Waters: Role of Organic Sulfur Precursors, Water Quality Constituents, and Temperature
Environmental Science & Technology · 2018
- Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm
Construction and Building Materials · 2017
- Environmental Science & Technology×3
- Journal of environmental chemical engineering×2
- Remediation Journal×2
- SSRN Electronic Journal×2
- European Polymer Journal×1
- Chloé de Perre
Environmental Science · Purdue University West Lafayette
- Youn Jeong Choi
Environmental Science · Purdue University West Lafayette
- Chunjie Xia
Environmental Science · Indiana University
- Dane C. Wagner
Environmental Science · Purdue University West Lafayette
- Tyler D. Hoskins
Environmental Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile